Сетка 2x2, соотношение 1:1, выполните это для 4 известных международных блюд:
# In[1]: Импорт библиотек химии вкуса
import auto_inference_engine as ai
import editorial_renderer as er
subject = "[$DISH_NAME]"
# In[2]: Деконструкция на летучие соединения
df_gastronomy = ai.dissect_dish(subject, layers=['Ароматическое облако', 'Матрица текстуры', 'Полотно Майяра', 'Культурная память'])
df_gastronomy['pairing_note'] = df_gastronomy.apply(lambda row: ai.suggest_wine_pairing(row.molecule), axis=1)
# In[3]: Построение съедобного взрывного вида
fig = er.Canvas(style="3D-фотосъёмка высокой кухни", lighting="Софтбокс и контровой пар", dof="Выборочный фокус на ароматических веществах")
fig.add_title(f"НЕВИДИМАЯ АРХИТЕКТУРА {subject.upper()}")
for index, layer in df_gastronomy.iterrows():
frame = fig.add_frame(shape="Сектор колеса вкуса", size=layer.intensity_value)
frame.render_3d_model(layer.ingredient_scan, lighting="Глянцевость и полупрозрачность")
frame.add_tasting_label(f"{layer.sensory_layer} | {layer.key_molecule} | {layer.pairing_note}")
fig.draw_aroma_trail(previous_frame, frame, style="Летучий вихрь")
fig.add_sidebar("Записная книжка шефа: происхождение техник, модификаторы текстуры")
fig.add_tasting_grid(df_gastronomy[['sensory_layer', 'key_molecule', 'pairing_note', 'umami_bump']])
# In[4]: Рендер
fig.render(quality="Фотореализм редакционного уровня Michelin Guide")
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